Integrating large-scale models into production environments is challenging. Compatibility with existing systems, security concerns, and cross-platform support must be addressed. Streamlined CI/CD pipelines and containerization can simplify deployment processes for ML models. https://weeblyblog.com/top-5-challenges-in-scaling-machine-learning-models/